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Computational Logistics

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Cover of 'Computational Logistics'

Table of Contents

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    Book Overview
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    Chapter 1 The Liner Shipping Fleet Repositioning Problem with Cargo Flows
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    Chapter 2 An Accurate Model for Seaworthy Container Vessel Stowage Planning with Ballast Tanks
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    Chapter 3 Scientometric Analysis of Container Terminals and Ports Literature and Interaction with Publications on Distribution Networks
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    Chapter 4 A Novel Predictive Control Based Framework for Optimizing Intermodal Container Terminal Operations
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    Chapter 5 Impact of Port Disruption on Supply Chains: A Petri Net Approach
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    Chapter 6 Extended Mis-overlay Calculation for Pre-marshalling Containers
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    Chapter 7 Solving the Two-Stage Capacitated Facility Location Problem by the Lagrangian Heuristic
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    Chapter 8 Applying Radio Frequency Identification Technology in Retail Trade from a Logistics Point of View – An Overview over Opportunities and Limitations
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    Chapter 9 Solving Vehicle Routing with Full Container Load and Time Windows
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    Chapter 10 Multi-item Simultaneous Lot Sizing and Storage Allocation with Production and Warehouse Capacities
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    Chapter 11 Planning Maritime Logistics Concepts for Offshore Wind Farms: A Newly Developed Decision Support System
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    Chapter 12 Application of Cycle-Based Simulation to Estimate Loss of Logistics Productivity on Construction Sites
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    Chapter 13 Benchmarking European Airports Based on a Profitability Envelope
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    Chapter 14 Solving Vehicle Routing Problems Using an Enhanced Clarke-Wright Algorithm: A Case Study
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    Chapter 15 An Insertion Heuristic Manpower Scheduling for In-Flight Catering Service Application
Attention for Chapter 6: Extended Mis-overlay Calculation for Pre-marshalling Containers
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Chapter title
Extended Mis-overlay Calculation for Pre-marshalling Containers
Chapter number 6
Book title
Computational Logistics
Published by
Springer, Berlin, Heidelberg, September 2012
DOI 10.1007/978-3-642-33587-7_6
Book ISBNs
978-3-64-233586-0, 978-3-64-233587-7
Authors

Stefan Voß

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 29%
Other 1 14%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Researcher 1 14%
Other 1 14%
Readers by discipline Count As %
Computer Science 4 57%
Business, Management and Accounting 1 14%
Mathematics 1 14%
Unknown 1 14%